Analysis of an arbitrary cross-section in python using the finite element method.

Reader for CalculiX .dat files

int_defects is a tool for automating the stress analysis of interacting defects in structures.

M.Sc. mini project for NLP class (M908)

A rapid, ASME/API-compliant tool for engineers to assess the integrity of process piping

VitalFlow Backend is the server-side engine of the VitalFlow health tracking app, built with Flask and MongoDB. It manages user authentication, health data storage, NLP-based water and stress analysis, and provides smart insights through secure API endpoints.

Official code for NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity

A Python utility for translating pipe layout files from CAESAR II (.NTXT format) to PIPESTRESS (.FRE format).

Data-Model for the Transfer of Pipe Class Data

Tember is an AI mental health companion mobile app designed to be an empathetic and supportive friend to talk to.

This project allows you to input a serial number (ID) to retrieve detailed member data and calculate their stress level based on heart rate and body composition.

Design as an API: a Python-first mechanical design toolkit using JSON-driven solvers to automate textbook machine design calculations.

A python-based workflow for analyzing the strain measurements from 2-dimensional X-ray diffraction patterns

An interactive Tableau dashboard analyzing the link between technology use, stress level, and personal wellness based on a 5,000-user dataset.

A comprehensive CAE study utilizing MSC ADAMS for multi-body dynamics and ANSYS for Finite Element Analysis (FEA) to evaluate the structural integrity and torque efficiency of a vehicle final drive system, comparing sprocket-chain and pulley-belt configurations.

An affordable robotic meal serving system that is scalable, mass-manufacturable, and can carry efficient load.

Stres Analizi için Etkileşimli Mohr Çemberi hesaplayıcısı

A Power BI-based dashboard project focused on analysing mental health indicators in the Indian healthcare sector. It includes synthetic data generation using Python and insightful visualizations related to stress, sleep, workload, satisfaction, and support systems among doctors and patients.

Building on the work done by @robbievaleeuwen on the Python 'sectionproperties', this Grasshopper component analyses an arbitrary cross-section using the finite element method.